Machine Generated Data
Tags
Color Analysis
Face analysis
Amazon
Microsoft
AWS Rekognition
Age | 19-36 |
Gender | Female, 74.7% |
Sad | 91.3% |
Disgusted | 1.5% |
Confused | 0.8% |
Happy | 1% |
Calm | 1.5% |
Surprised | 0.5% |
Angry | 3.4% |
AWS Rekognition
Age | 15-25 |
Gender | Male, 98.5% |
Surprised | 0.8% |
Angry | 2.6% |
Disgusted | 1.2% |
Happy | 0.9% |
Calm | 34.3% |
Sad | 57.2% |
Confused | 3% |
AWS Rekognition
Age | 23-38 |
Gender | Male, 70.5% |
Calm | 25.6% |
Sad | 52% |
Surprised | 3.5% |
Disgusted | 3.9% |
Happy | 3% |
Angry | 5.8% |
Confused | 6.2% |
Microsoft Cognitive Services
Age | 30 |
Gender | Male |
Microsoft Cognitive Services
Age | 11 |
Gender | Male |
Microsoft Cognitive Services
Age | 29 |
Gender | Male |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Likely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Very unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Google Vision
Surprise | Very unlikely |
Anger | Very unlikely |
Sorrow | Unlikely |
Joy | Very unlikely |
Headwear | Very unlikely |
Blurred | Very unlikely |
Feature analysis
Amazon
Person | 99.6% | |